Knowledge Management System of Northwest Institute of Plateau Biology, CAS
Predicting the Suitable Geographical Distribution ofSinadoxa Corydalifoliaunder Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model | |
Huang, Xiaotao; Ma, Li; Chen, Chunbo; Zhou, Huakun; Yao, Buqing; Ma, Zhen | |
2020 | |
发表期刊 | PLANTS-BASEL |
卷号 | 9期号:8 |
摘要 | Sinadoxa corydalifoliais a perennial grass with considerable academic value as a rare species owing to habitat destruction and a narrow distribution. However, its distribution remains unclear. In this study, we predicted the distribution ofSinadoxa corydalifoliain the three-river region (the source of the Yangtze River, Yellow River, and Lancang River) under the context of climate change using the maximum entropy (MaxEnt) model. Under the current climate scenario, the suitable distribution mainly occurred in Yushu County and Nangqian County. The suitable distribution area ofSinadoxa corydalifoliacovered 3107 km(2), accounting for 0.57% of the three-river region. The mean diurnal air temperature range (Bio2), temperature seasonality (Bio4), and mean air temperature of the driest quarter (Bio9) contributed the most to the distribution model forSinadoxa corydalifolia, with a cumulative contribution of 81.4%. The highest suitability occurred when air temperature seasonality (Bio4) ranged from 6500 to 6900. The highest suitable mean air temperature of the driest quarter ranged from -5 to 0 degrees C. The highest suitable mean diurnal temperature (Bio2) ranged from 8.9 to 9.7 degrees C. In future (2041-2060) scenarios, the suitable distribution areas ofSinadoxa corydalifoliafrom high to low are as follows: representative concentration pathway (RCP)26 (6171 km(2)) > RCP45 (6017 km(2)) > RCP80 (4238 km(2)) > RCP60 (2505 km(2)). In future (2061-2080) scenarios, the suitable distribution areas ofSinadoxa corydalifoliafrom high to low are as follows: RCP26 (18,299 km(2)) > RCP60 (11,977 km(2)) > RCP45 (10,354 km(2)) > RCP80 (7539 km(2)). In general, the suitable distribution will increase in the future. The distribution area ofSinadoxa corydalifoliawill generally be larger under low CO(2)concentrations than under high CO(2)concentrations. This study will facilitate the development of appropriate conservation measures forSinadoxa corydalifoliain the three-river region. |
关键词 | suitable distribution MaxEnt three-river region climate change environmental variable |
文献类型 | 期刊论文 |
条目标识符 | http://210.75.249.4/handle/363003/60281 |
专题 | 中国科学院西北高原生物研究所 |
推荐引用方式 GB/T 7714 | Huang, Xiaotao,Ma, Li,Chen, Chunbo,et al. Predicting the Suitable Geographical Distribution ofSinadoxa Corydalifoliaunder Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model[J]. PLANTS-BASEL,2020,9(8). |
APA | Huang, Xiaotao,Ma, Li,Chen, Chunbo,Zhou, Huakun,Yao, Buqing,&Ma, Zhen.(2020).Predicting the Suitable Geographical Distribution ofSinadoxa Corydalifoliaunder Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model.PLANTS-BASEL,9(8). |
MLA | Huang, Xiaotao,et al."Predicting the Suitable Geographical Distribution ofSinadoxa Corydalifoliaunder Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model".PLANTS-BASEL 9.8(2020). |
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